Welcome to the CloverETL Walk-through
In this guide we will learn how to build, deploy, run and monitor a complete automated data processing pipeline using CloverETL.
This trail demonstrates:
- Reading a simple CSV file (Lesson 1)
- Filtering and removal of unwanted records (Lesson 2)
- Loading records into Microsoft SQL Server relational database (Lesson 3)
- Transforming different input data formats into a single consistent output format (Lesson 4)
- Detecting the arrival of new files to be processed (workflow, Lesson 5)
- Setting up additional workflow steps (archive input files, maintain a log file, Lesson 6)
Automated Data Pipeline
Automated Data Pipeline is about removing the laborious manual processes involved in any stage of data processing. Data integration is not only about connecting data sources with data targets; it’s also about automating the process – triggering based on events, scheduling, monitoring, trouble-shooting and running workflows that handle errors, cleanup, file handling, etc.